Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach

Xiaohua Liu, Yi Li, Xiaomin Xiong, Yihan Wu, Mengke Xu, Lin Chen, Bo Lin, Bo Xu, Guoxiang Liu. Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 304-310, IEEE, 2023. [doi]

@inproceedings{LiuLXWXCLXL23,
  title = {Improving HER2-Positive Breast Cancer Targeted Therapy Prediction Using multiMSnet: A Multi-Scale Pathological Image-Based Approach},
  author = {Xiaohua Liu and Yi Li and Xiaomin Xiong and Yihan Wu and Mengke Xu and Lin Chen and Bo Lin and Bo Xu and Guoxiang Liu},
  year = {2023},
  doi = {10.1109/ICDMW60847.2023.00044},
  url = {https://doi.org/10.1109/ICDMW60847.2023.00044},
  researchr = {https://researchr.org/publication/LiuLXWXCLXL23},
  cites = {0},
  citedby = {0},
  pages = {304-310},
  booktitle = {IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023},
  editor = {Jihe Wang and Yi He 0007 and Thang N. Dinh and Christan Grant and Meikang Qiu and Witold Pedrycz},
  publisher = {IEEE},
  isbn = {979-8-3503-8164-1},
}